Start with the engine. Add what you need.
Use the planning engine through an API, add integration with your existing data, or commission a complete application with an AI layer. Plans and scenarios can be rerun as conditions change.
Planning · Optimisation · Decision systems
We build planning and decision systems for operational and capital decisions. Fitted to your constraints. Made for people and AI agents.
From spreadsheets to AI-assisted optimisation. You own the code, models and data.
AI helps people ask questions and explore changes. The planning engine computes the answer, checks the constraints and rejects invalid plans. Every plan, explanation and what-if is available through an API.
The same constraints apply whether a person or an agent requests the change.
| Line | Mon | Tue | Wed | Thu | Fri |
|---|---|---|---|---|---|
| Line 1 | #4211 · 12t | #4302 | |||
| Line 2 | #4187 · 8t | ||||
| Line 3 | #4198 · 6t | Maintenance | #4211 | ||
When spreadsheets take days and a planning suite takes months to integrate, a system fitted to your operation is a practical next step. We model your products, resources and constraints, and build the software around them.
Use the planning engine through an API, add integration with your existing data, or commission a complete application with an AI layer. Plans and scenarios can be rerun as conditions change.
We bring optimisation mathematics, industry experience and engineering together. The same team builds the data integration, engine, application and AI layer. You own the code, models and data.
Our work spans production scheduling, scenario planning, demand forecasting and pricing. Each system supports a specific operational decision.
Optimisation-driven production planning, delivered as standalone software and inside ERP and manufacturing execution systems.
Agentic scenario planning solves thousands of what-if scenarios in parallel and ranks the results into actions a planner can use.
Store-level fresh demand forecasting and replenishment planning for a national grocery chain.
A full platform with an embedded AI agent, delivered on Azure by a team of four. Three months from start to production, including user acceptance testing.
Four practitioners with more than 40 years of combined experience. We combine optimisation mathematics, industry knowledge and AI engineering.
Working across Ireland, Singapore and Australia.
Co-founder · Australia
Learned supply chain mathematics at i2, later Blue Yonder. Built planning systems at Apple, HP and FedEx.
Co-founder · Ireland
Twenty years building forecasting, pricing, optimisation and data platforms in telecoms, financial services, manufacturing and the public sector.
AI engineering · Europe
Builds our AI systems. Researches foundation models at the University of Marburg.
Optimisation engineering · Asia
Spend 30 minutes with us on how your plan is built today and where it fails. Within a week, we propose one line or planning problem with a fixed scope and a success test agreed in writing.
Book a working sessionBring your hardest planning problem. We’ll start with the decision you need to make.